000 06375cam a2200625Mi 4500
001 on1013732312
003 OCoLC
005 20210810091256.0
006 m d
007 cr |||||||||||
008 171117t20182018enka ob 001 0 eng d
040 _aIDEBK
_beng
_erda
_cIDEBK
_dOCLCO
_dOCLCF
_dYDX
_dN$T
_dEBLCP
_dOPELS
_dMERER
_dUPM
019 _a1006380899
_a1006612542
_a1007371669
020 _a0128123710
_q(ebk)
020 _a9780128123713
020 _z9780128122532
020 _z0128122536
035 _a1497573
_b(N$T)
035 _a(OCoLC)1013732312
_z(OCoLC)1006380899
_z(OCoLC)1006612542
_z(OCoLC)1007371669
037 _a1042426
_bMIL
050 4 _aTK9145
072 7 _aTEC
_x009070
_2bisacsh
082 0 4 _a621.48
_223
049 _aMAIN
100 1 _aMcclarren, Ryan G.,
_eauthor.
245 1 0 _aComputational nuclear engineering and radiological science using python /
_cRyan G. Mcclarren.
264 1 _aLondon, England :
_bAcademic Press,
_c2018.
264 4 _cß2018
300 _a1 online resource (462 pages) :
_billustrations.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
505 0 _a""Front Cover""; ""Computational Nuclear Engineering and Radiological Science Using PythonTM""; ""Copyright""; ""Contents""; ""About the Author""; ""Preface""; ""Acknowledgment""; ""Part I Introduction to Python for Scienti c Computing""; ""1 Getting Started in Python""; ""1.1 Why Python?""; ""1.1.1 Comments""; ""1.1.2 Errors""; ""1.1.3 Indentation""; ""1.2 Numeric Variables""; ""1.2.1 Integers""; ""1.2.2 Floating Point Numbers""; ""1.2.2.1 Built-in Mathematical Functions""; ""1.2.3 Complex Numbers""; ""1.3 Strings and Overloading""; ""1.4 Input""; ""1.5 Branching (If Statements)""
505 8 _a""1.6 Iteration"""" The Great Beyond""; "" Further Reading""; "" Problems""; "" Short Exercises""; "" Programming Projects""; "" 1. Harriot's Method for Solving Cubics""; ""2 Digging Deeper Into Python""; ""2.1 A First Numerical Program""; ""2.2 For Loops""; ""2.3 Lists and Tuples""; ""2.3.1 Lists""; ""2.3.2 Tuples""; ""2.4 Floats and Numerical Precision""; "" Further Reading""; "" Problems""; "" Short Exercises""; "" Programming Projects""; "" 1. Nuclear Reaction Q Values""; "" 2. Calculating e, the Base of the Natural Logarithm""; ""3 Functions, Scoping, Recursion, and Other Miscellany""
505 8 _a""3.1 Functions""""3.1.1 Calling Functions and Default Arguments""; ""3.1.2 Return Values""; ""3.2 Docstrings and Help""; ""3.3 Scope""; ""3.4 Recursion""; ""3.5 Modules""; ""3.6 Files""; "" Problems""; "" Short Exercises""; "" Programming Projects""; "" 1. Monte Carlo Integration""; ""4 NumPy and Matplotlib""; ""4.1 NumPy Arrays""; ""4.1.1 Creating Arrays in Neat Ways""; ""4.1.2 Operations on Arrays""; ""4.1.3 Universal Functions""; ""4.1.4 Copying Arrays and Scope""; ""4.1.5 Indexing, Slicing, and Iterating""; ""4.1.6 NumPy and Complex Numbers""; ""4.2 Matplotlib Basics""
505 8 _a""4.2.1 Customizing Plots"""" Further Reading""; "" Problems""; "" Short Exercises""; "" Programming Projects""; "" 1. Inhour Equation""; "" 2. Fractal Growth""; "" 3. Charges in a Plane""; ""5 Dictionaries and Functions as Arguments""; ""5.1 Dictionaries""; ""5.2 Functions Passed to Functions""; ""5.3 Lambda Functions""; "" Problems""; "" Short Exercises""; "" Programming Projects""; "" 1. Plutonium Decay Chain""; "" 2. Simple Cryptographic Cipher""; ""6 Testing and Debugging""; ""6.1 Testing Your Code""; ""6.2 Debugging""; ""6.3 Assertions""; ""6.4 Error Handling""; "" Further Reading""
505 8 _a"" Problems"""" Short Exercises""; "" Programming Projects""; "" 1. Test Function for k-Eigenvalue""; ""Part II Numerical Methods""; ""7 Gaussian Elimination""; ""7.1 A Motivating Example""; ""7.2 A Function for Solving 3x3 Systems""; ""7.3 Gaussian Elimination for a General System""; ""7.4 Round off and Pivoting""; ""7.5 Time to Solution for Gaussian Elimination""; "" Further Reading""; "" Problems""; "" Short Exercises""; "" Programming Projects""; "" 1. Xenon Poisoning""; "" 2. Flux Capacitor Waste""; "" 3. Four-Group Reactor Theory""; "" 4. Matrix Inverse""
520 _aComputational Nuclear Engineering and Radiological Science Using Python provides the necessary knowledge users need to embed more modern computing techniques into current practices, while also helping practitioners replace Fortran-based implementations with higher level languages. The book is especially unique in the market with its implementation of Python into nuclear engineering methods, seeking to do so by first teaching the basics of Python, then going through different techniques to solve systems of equations, and finally applying that knowledge to solve problems specific to nuclear engineering. Along with examples of code and end-of-chapter problems, the book is an asset to novice programmers in nuclear engineering and radiological sciences, teaching them how to analyze complex systems using modern computational techniques. For decades, the paradigm in engineering education, in particular, nuclear engineering, has been to teach Fortran along with numerical methods for solving engineering problems. This has been slowly changing as new codes have been written utilizing modern languages, such as Python, thus resulting in a greater need for the development of more modern computational skills and techniques in nuclear engineering.
590 _aMaster record variable field(s) change: 072
650 0 _aNuclear engineering.
650 0 _aRadiology.
650 0 _aPython (Computer program language)
650 7 _aNuclear engineering.
_2fast
_0(OCoLC)fst01040032
650 7 _aPython (Computer program language)
_2fast
_0(OCoLC)fst01084736
650 7 _aRadiology.
_2fast
_0(OCoLC)fst01088271
650 7 _aTECHNOLOGY & ENGINEERING / Mechanical.
_2bisacsh
655 4 _aElectronic books.
776 0 8 _iPrint version:
_z9780128122532
_z0128122536
_w(OCoLC)979562306
856 4 0 _3EBSCOhost
_uhttps://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=1497573
938 _aProQuest MyiLibrary Digital eBook Collection
_bIDEB
_ncis39136459
938 _aEBL - Ebook Library
_bEBLB
_nEBL5105674
938 _aYBP Library Services
_bYANK
_n14886554
938 _aEBSCOhost
_bEBSC
_n1497573
994 _a92
_bN$T